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Customer Experience (CX) tools can provide exceptional value for a business if a company knows how to use them properly.
As such, investing in Customer Experience tools can have far-flung effects on a company. And if a business fails to use

Top talent is scarce, and hanging on to the best employees once they’ve been hired can be a challenge. Any human resources manager would agree, but it’s a particular pain point for those seeking to fill roles in the world of data analy

In August the NYTimes published a piece that reflected on the challenges data science professionals must tackle before they’re even able to look for insights in “big data.” The author does a great job illustrating the reality behind the big

Statistically, you’ve got a 45% chance to succeed with your business analytics project. What do you need to know to put yourself in the successful minority?
Business analytics technology has become more mainstream and accessible, but that

“Big data” might be the defining buzzword of the 21st Century. You can hardly look anywhere these days without data being referenced as an integral part of any successful business.
Data → Key Insights → Business Decisions → Success

There exists a great paradox in the world of analytics. The least glamorous – and perhaps most boring – step in the analytics process is also the most vital: data scrubbing, cleansing and preprocessing.
It would be hard to overstate the

Remember in the Wizard of Oz, when Dorothy and her crew discovered that the all-knowing Wizard was actually the so-called “man behind the curtain”? In the world of data analytics software, there also lurks a man or woman behind the cur

Actionable insights from data can seem elusive to businesses, even those who have tried to utilize analytics software. The reasons for this are varied; it’s certainly possible their software product wasn’t as powerful as they’d a

When Software as a Service (SaaS) first entered the vernacular, the idea that software could be delivered as a service over the internet was groundbreaking. Today, there’s a new revolution taking place. This time, it’s in the form of S

Data is a tangled, messy, and above all – invaluable. Data wrangling has grown into a coveted skill, but it takes a knowledgeable data scientist to unravel the best and most strategic insights from the wealth of data lurking in our digital unive